Adversarial_Reprogramming
Network reprogramming
This project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets.
Adversarial Reprogramming of Neural Networks
33 stars
4 watching
4 forks
Language: Python
last commit: about 8 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
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| paarthneekhara/multimodal_rerprogramming | Cross-modal Adversarial Reprogramming enables retraining of image models on text classification tasks | 11 |
 yerevann/warp | An approach to transfer learning for NLP tasks using adversarial reprogramming and word-level task-specific embeddings. | 83 |
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 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
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 akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 538 |
 yunyuntsai/black-box-adversarial-reprogramming | An approach to adapt machine learning models using scarce data and limited resources by modifying their internal workings without changing the model's original architecture or training data. | 37 |
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 xternalz/wideresnet-pytorch | An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. | 334 |
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